Package: GenAlgo 2.2.0
Kevin R. Coombes
GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection
Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
Authors:
GenAlgo_2.2.0.tar.gz
GenAlgo_2.2.0.tar.gz(r-4.5-noble)GenAlgo_2.2.0.tar.gz(r-4.4-noble)
GenAlgo_2.2.0.tgz(r-4.4-emscripten)GenAlgo_2.2.0.tgz(r-4.3-emscripten)
GenAlgo.pdf |GenAlgo.html✨
GenAlgo/json (API)
NEWS
| # Install 'GenAlgo' in R: |
| install.packages('GenAlgo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/oompa
- diversity - Results of a Genetic Algorithm
- fitter - Results of a Genetic Algorithm
- meanfit - Results of a Genetic Algorithm
- recurse - Results of a Genetic Algorithm
- tourData09 - Tour de France 2009
Last updated 4 years agofrom:7476f7f38f
Exports:as.data.frameas.matrixGenAlghistimagemahanewGenerationplotpopDiversityselectionFitnessselectionMutatesimpleMutatesummary
Dependencies:BiobaseBiocGenericsClassDiscoveryclusterMASSmclustoompaBaseoompaData
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Results of a Genetic Algorithm | diversity fitter gaTourResults meanfit recurse |
| A generic Genetic Algorithm for feature selection | GenAlg newGeneration popDiversity |
| Class "GenAlg" | as.data.frame,GenAlg-method as.matrix,GenAlg-method GenAlg-class summary,GenAlg-method |
| Utility functions for selection and mutation in genetic algorithms | GenAlg-tools selectionFitness selectionMutate simpleMutate |
| Compute the (squared) Mahalanobis distance between two groups of vectors | maha |
| Tour de France 2009 | tourData09 |